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Lidar ESRL WindCube 200s, Wasco Airport Processed Data

**Overview** The available "Readme" file introduces the basics of the Doppler lidar data and offers a detailed description of the variables present in the data files. For those with any further questions about the data and its interpretation, contact either Alan Brewer (

Baidar, S. and Brewer, A. Wind Energy Technologies Office (WETO)

Sep 24, 2015
1 Resources
0 Stars
Publicly accessible

United States Renewable Energy Technical Potential

Renewable energy technical potential as defined in this report represents the achievable energy generation of a particular technology given system performance, topographic limitations, environmental, and land-use constraints. The primary benefit of assessing technical potential...

Lopez, A. and Laboratory, N. National Renewable Energy Laboratory

Nov 25, 2014
4 Resources
0 Stars
In curation

Alaska's RE Grant Recommendation Program (2008): Location and General Information

In 2008, the Alaska legislature established the Renewable Energy (RE) Grant Recommendation Program. The Alaska Energy Authority (AEA) solicited for competitive applications between September and November 2008 from qualified applicants for the purpose of recommending grants for RE ...

Hallett, K. and (AEDI), A. National Renewable Energy Laboratory

Dec 30, 2009
2 Resources
0 Stars
In curation

NWTC Ceilometer (1) Pre-campaign / Derived Data

**Overview** This instrument will be testing the data transfer process before deploying the campaign. The netCDF L3 data file has level 3 (L3) data that have gone through the calculation service and contains all the data from the algorithms, including mixing layer height values ...

Hamilton, N. and Zalkind, D. Wind Energy Technologies Office (WETO)

Sep 20, 2018
1 Resources
0 Stars
Publicly accessible

Lidar ESRL WindCube 200s, Arlington Airport Reviewed Data

**Overview** The available "readme" file introduces the basics of the Doppler lidar data and offers a detailed description of the variables present in the data files. For those with any further questions about the data and its interpretation, contact either Alan Brewer (

Brewer, A. and Baidar, S. Wind Energy Technologies Office (WETO)

Aug 31, 2015
1 Resources
0 Stars
Publicly accessible

Lidar ESRL WindCube 200s, Wasco Airport Reviewed Data

Baidar, S. and Brewer, A. Wind Energy Technologies Office (WETO)

Aug 31, 2015
1 Resources
0 Stars
Publicly accessible

2021 Annual Technology Baseline (ATB) Cost and Performance Data for Electricity Generation Technologies

Starting in 2015 NREL has presented the Annual Technology Baseline (ATB) in an Excel workbook that contains detailed cost and performance data, both current and projected, for renewable and conventional technologies. The workbook includes a spreadsheet for each technology. This ve...

Vimmerstedt, L. et al National Renewable Energy Laboratory (NREL)

Jul 12, 2021
11 Resources
0 Stars
Publicly accessible

ARPA-E PERFORM datasets

Time-coincident load, wind, and solar data including actual and probabilistic forecast datasets at 5-min resolution for ERCOT, MISO, NYISO, and SPP. Wind and solar profiles are supplied for existing sites as well as planned sites based on interconnection queue projects as of 2021....

Sergi, B. et al National Renewable Energy Laboratory (NREL)

Aug 18, 2022
3 Resources
0 Stars
Publicly accessible

Lidar ND Halo Scanning Doppler, Boardman Derived Data

**Overview** The University of Notre Dame (ND) scanning LiDAR dataset used for the WFIP2 Campaign is provided. The LiDAR is a Halo Photonics Stream Line Scanning Doppler LiDAR. **It is highly recommended to discuss any planned use of these data with University of Notre Dame scie...

Fernando, J. et al Wind Energy Technologies Office (WETO)

Dec 12, 2015
1 Resources
0 Stars
Publicly accessible

Lidar ND Halo Scanning Doppler, Boardman Processed Data

Fernando, J. et al Wind Energy Technologies Office (WETO)

Dec 12, 2015
1 Resources
0 Stars
Publicly accessible

Wind Resources by Class and Country At 50m

These estimates are derived from a composite of high resolution wind resource datasets modeled for specific countries with low resolution data originating from the National Centers for Environmental Prediction (United States) and the National Center for Atmospheric Research (Unite...

Heimiller, D. and Laboratory, N. National Renewable Energy Laboratory

Nov 25, 2014
4 Resources
0 Stars
In curation

Lidar ND Halo Scanning Doppler, Boardman Reviewed Data

Fernando, J. et al Wind Energy Technologies Office (WETO)

Dec 12, 2015
1 Resources
0 Stars
Publicly accessible

Wind Resources in Alaska

Wind resource data for Alaska and southeast Alaska, both high resolution wind resource maps and gridded wind parameters. The two high resolution wind maps are comprised of a grid of cells each containing a single value of average wind speed (m/s) at a hub height of 30, 50, 70, and...

Hallett, K. and (AEDI), A. National Renewable Energy Laboratory

Dec 30, 2006
2 Resources
0 Stars
In curation

Additional Data Focused on Phase 1 Geared Toward Computational Fluid Dynamics (CFD) validation

**Overview** A new validation campaign was developed within the Offshore Code Comparison Collaboration, Continued, with Correlation and unCertainty (OC6) to better understand the complex interactions between components of a floating wind system (e.g., columns, pontoons, etc.) in ...

Robertson, A. Wind Energy Technologies Office (WETO)

Apr 08, 2021
1 Resources
0 Stars
Publicly accessible

Wind Integration National Dataset (WIND) Toolkit

Wind resource data for North America was produced using the Weather Research and Forecasting Model (WRF). The WRF model was initialized with the European Centre for Medium Range Weather Forecasts Interim Reanalysis (ERA-Interm) data set with an initial grid spacing of 54 km. Thre...

Maclaurin, G. et al National Renewable Energy Laboratory

Sep 26, 2014
6 Resources
1 Stars
Publicly accessible

NREL GIS data: Bhutan Wind Power Density at 50m Above Ground Level

GIS data for Bhutan's Wind Power Density at 50m Above Ground Level. NREL developed estimates of Bhutans wind resources at a spatial resolution of 1 km^2 using NREL?s Wind Resource Assessment and Mapping System (WRAMS). Wind turbine output at a given site can be predicted using win...

Heimiller, D. et al National Renewable Energy Laboratory

Nov 25, 2014
3 Resources
0 Stars
Publicly accessible

Office of Science (Department of Energy) User Facilities

The Office of Science national scientific user facilities provide researchers with the most advanced tools of modern science including accelerators, colliders, supercomputers, light sources and neutron sources, as well as facilities for studying the nanoworld, the environment, and...

Honey, K. and (EERE), O. Office of Energy Efficiency & Renewable Energy

Nov 25, 2014
2 Resources
0 Stars
In curation

Building Component Library

The Building Component Library (BCL) is the U.S. Department of Energy’s comprehensive online searchable library of energy modeling building blocks and descriptive metadata. Novice users and seasoned practitioners can use the freely available and uniquely identifiable components ...

Long, N. and Laboratory, N. National Renewable Energy Laboratory

Nov 25, 2014
1 Resources
0 Stars
In curation

UAE6 Wind Tunnel Tests Data UAE6 Sequence H Raw Data

**Overview** Sequences H, I, and J: Upwind Baseline (F), Upwind Low Pitch (F), Upwind High Pitch (F) This test sequence used an upwind, rigid turbine with a 0° cone angle. The wind speed ranged from 5 m/s to 25 m/s. Yaw angles of –30 to 180° were achieved at low wind speeds,...